Triple
T22899697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brain |
E568274
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Tony Grey |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tony Grey | Statement: [Brain, bassist, Tony Grey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Grey Context triple: [Brain, bassist, Tony Grey]
-
A.
Tony Grey
chosen
Tony Grey is a British jazz fusion bassist and composer known for his virtuosic technique, melodic soloing, and collaborations with artists such as Hiromi Uehara and John McLaughlin.
-
B.
Ted Grey
Ted Grey is a lesser-known pseudonym used by Jacob Kurtzberg, the legendary comic book creator better known as Jack Kirby.
-
C.
Arthur Grey
Arthur Grey is the idealistic young dreamer and romantic hero of Alexander Grin’s novella "Scarlet Sails."
-
D.
Theodore Grey
Theodore Grey is a fictional character in the "Fifty Shades" series, known as the son of protagonists Anastasia Steele and Christian Grey.
-
E.
Lawrence Grey
Lawrence Grey is a film and television producer known for developing and producing mainstream Hollywood projects, including family comedies like "Yes Day."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180155b1c8190a83eb6ec45387a1a |
completed | April 29, 2026, 3:50 a.m. |
Created at: April 17, 2026, 3:41 p.m.